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Description
Healthy Package AI, developed by DerScanner, serves as an effective tool aimed at maintaining the health and security of open-source packages, thereby protecting applications from various threats. By harnessing the extensive analysis of over 100 million packages conducted by DerScanner, developers can thoroughly assess open-source dependencies prior to their inclusion in projects, enhancing confidence in their selections.
With the capabilities of Healthy Package AI, users can delve into comprehensive insights by simply inputting a GitHub URL or the name of a package, like Facebook's React. The platform performs an evaluation of several essential metrics to deliver a holistic security assessment, which includes:
Search Popularity: This feature helps pinpoint popular and dependable libraries that can be reliably used in your projects.
Author’s Reliability: This aspect scrutinizes the credentials of project authors, ensuring that contributors possess the necessary experience and trustworthiness, thus reducing the threat posed by potentially harmful developers.
Furthermore, this innovative solution empowers developers to make more informed decisions and fosters a safer open-source ecosystem overall.
Description
SAS® Viya® offers a robust and scalable analytics platform that is both efficient and easy to implement, allowing organizations to address a variety of business challenges. The insights generated automatically help in pinpointing the most frequently used variables across all models, highlighting key variables selected along with evaluation outcomes for each model. With the integration of natural language generation, project summaries are produced in straightforward language, which simplifies the interpretation of reports for users. Moreover, members of the analytics team can enhance the insights report with project notes, promoting better communication and teamwork. SAS further enables the integration of open source code within analyses, allowing users to utilize open source algorithms effortlessly in its platform. This flexibility encourages collaboration throughout your organization, as users are free to program in their preferred language. Additionally, you can leverage SAS Deep Learning with Python (DLPy), an open-source package available on GitHub, to expand your analytical capabilities even further. By using these tools, businesses can significantly enhance their data-driven decision-making processes.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
Azure Marketplace
GitHub
Google Cloud Platform
JMP Statistical Software
Microsoft Azure
OpenMetadata
Red Hat OpenShift
SAS Analytics Pro
SAS Analytics for IoT
Integrations
Amazon Web Services (AWS)
Azure Marketplace
GitHub
Google Cloud Platform
JMP Statistical Software
Microsoft Azure
OpenMetadata
Red Hat OpenShift
SAS Analytics Pro
SAS Analytics for IoT
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DerScanner
Founded
2011
Website
healthypackage.ai/
Vendor Details
Company Name
SAS
Country
United States
Website
www.sas.com/en_us/software/data-science-offerings.html
Product Features
Product Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports